What is the Ohio COVID-19 Modeling Collaborative (OCMC)?

The logo for the Ohio COVID-19 Modeling Collaborative

OCMC is a joint effort of researchers at Case Western Reserve University and the University of Akron. 

The Ohio Coronavirus Modeling Collaborative was formed in April 2020 by researchers at Case Western Reserve University and the University of Akron in order to provide accurate near-term projections of COVID-19 activity in Northern Ohio.  In response to requests from various stakeholders in the public and private sectors, we continue to add to the geographic scope of our modeling work.



  • Daniela Calvetti, PhD is the James Wood Williamson Professor of Mathematics, Applied Mathematics, and Statistics at Case Western Reserve University.  Among her research interests are computational inverse problems, especially in the Bayesian framework) predictive mathematical modeling, and the mathematics of data science.
  • Erkki Somersalo, PhD of Case Western Reserve University is a pioneer in the field of inverse problems.  In particular, he has contributed to applications in biomedical research, developing the theory and applications of imaging modalities based on interaction of material and electromagnetic waves, with applications to medical imaging.
  • Johnie Rose, MD, PhD is a Preventive Medicine and Public Health physician and epidemiologist  at Case Western Reserve University School of Medicine.  He specializes in the study of population health determinants and outcomes.  His research and methodological work have focused on examining health disparities using data science methods and secondary data, modeling the population impact of preventive interventions, cancer control and prevention, and conducting health economic analyses. 
  • Alexander Hoover, PhD is an Applied Mathematician at the University of Akron specializing in  mathematical biology, numerical analysis, data-driven modeling, data visualization, and network modeling.  Dr. Hoover has playing a central role in adapting the model to account for the spread of infection between connected communities.

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